Structural Wall Facade Reconstruction of Scanned Scene in Point Clouds

被引:0
|
作者
Ning, Xiaojuan [1 ,2 ]
Wang, Man [1 ]
Tang, Jing [1 ]
Zhang, Huanhuan [3 ]
Wang, Yinghui [4 ]
机构
[1] Xian Univ Technol, Inst Comp Sci & Engn, Xian 710048, Peoples R China
[2] Shaanxi Key Lab Network Comp & Secur Technol, Xian 710048, Peoples R China
[3] Xian Polytech Univ, Coll Elect & Informat, Xian 710048, Peoples R China
[4] Jiangnan Univ, Sch Artificial Intelligence & Comp Sci, 1800 Lihu Rd, Wuxi 214122, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
computer graphics; computer aided analysis; feature extraction; object segmentation; pattern recognition; BUILDING INTERIORS; INDOOR;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Representation of wall facade in 3D scene important for scene understanding and reconstruction. Doors and windows are essential elements of wall facade, which enrich the models of indoor buildings. In order to reconstruct the wall facade with detailed wall opening (doors and windows) information from point cloud, an improved automatic reconstruction approach is proposed in this paper. Specifically, we first detect the occlusion area on the wall by ray-tracing method. Then, the interested wall facade is segmented from scenes, and the contour and feature lines of the wall surface are extracted through the analysis of spatial occupancy. Third, the wall point cloud is transformed into a 2D cell complex. The wall surface is finally reconstructed through the wall opening identification based on graph cut. Experimental results demonstrate that our method has better performance in detail description, feature line extraction and opening area detection of the scene point cloud than existing state-of-the-art methods.
引用
收藏
页码:11 / 20
页数:10
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